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2.
J Clin Ultrasound ; 52(5): 649-652, 2024 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-38544482

RESUMEN

Multi-systemic metastasis in patients with Peutz-Jeghers syndrome (PJS) is very rare, and there are nearly no relevant imaging reports, especially in contrast-enhanced ultrasound (CEUS). We present here a 40-year-old male patient who underwent several partial small bowel resections and endoscopic polypectomy for intestinal polyps. After reviewing the patient's clinical diagnosis and treatment process, CEUS with sulfur hexafluoride microbubbles (SonoVue, Bracco, Milan, Italy) in the liver and gastrointestinal tract was performed. We imaged multiple abnormal masses with sonographic features consistent with malignancies. Combined with other imaging examinations and 18 gauge core-needle puncture biopsy of liver masses, multiple metastases outside the gastrointestinal tract were considered. This case report suggests CEUS may be an easy, effective, and supplementary method for evaluating PJS patients with suspected multi-systemic malignant lesions including the gastrointestinal tract.


Asunto(s)
Medios de Contraste , Síndrome de Peutz-Jeghers , Ultrasonografía , Humanos , Masculino , Síndrome de Peutz-Jeghers/diagnóstico por imagen , Síndrome de Peutz-Jeghers/complicaciones , Adulto , Ultrasonografía/métodos , Hexafluoruro de Azufre , Pólipos Intestinales/diagnóstico por imagen , Pólipos Intestinales/cirugía , Aumento de la Imagen/métodos , Neoplasias Hepáticas/diagnóstico por imagen , Neoplasias Hepáticas/secundario , Fosfolípidos
3.
Sensors (Basel) ; 22(13)2022 Jun 21.
Artículo en Inglés | MEDLINE | ID: mdl-35808154

RESUMEN

In a colonoscopy, accurate computer-aided polyp detection and segmentation can help endoscopists to remove abnormal tissue. This reduces the chance of polyps developing into cancer, which is of great importance. In this paper, we propose a neural network (parallel residual atrous pyramid network or PRAPNet) based on a parallel residual atrous pyramid module for the segmentation of intestinal polyp detection. We made full use of the global contextual information of the different regions by the proposed parallel residual atrous pyramid module. The experimental results showed that our proposed global prior module could effectively achieve better segmentation results in the intestinal polyp segmentation task compared with the previously published results. The mean intersection over union and dice coefficient of the model in the Kvasir-SEG dataset were 90.4% and 94.2%, respectively. The experimental results outperformed the scores achieved by the seven classical segmentation network models (U-Net, U-Net++, ResUNet++, praNet, CaraNet, SFFormer-L, TransFuse-L).


Asunto(s)
Procesamiento de Imagen Asistido por Computador , Pólipos Intestinales , Redes Neurales de la Computación , Colonoscopía , Aprendizaje Profundo , Humanos , Procesamiento de Imagen Asistido por Computador/métodos , Pólipos Intestinales/diagnóstico por imagen
4.
Comput Math Methods Med ; 2022: 9508004, 2022.
Artículo en Inglés | MEDLINE | ID: mdl-35103073

RESUMEN

As an effective tool for colorectal lesion detection, it is still difficult to avoid the phenomenon of missed and false detection when using white-light endoscopy. In order to improve the lesion detection rate of colorectal cancer patients, this paper proposes a real-time lesion diagnosis model (YOLOv5x-CG) based on YOLOv5 improvement. In this diagnostic model, colorectal lesions were subdivided into three categories: micropolyps, adenomas, and cancer. In the course of convolutional network training, Mosaic data enhancement strategy was used to improve the detection rate of small target polyps. At the same time, coordinate attention (CA) mechanism was introduced to take into account channel and location information in the network, so as to realize the effective extraction of three kinds of pathological features. The Ghost module was also used to generate more feature maps through linear processing, which reduces the stress of learning model parameters and speeds up detection. The experimental results show that the lesion diagnosis model proposed in this paper has a more rapid and accurate lesion detection ability, and the AP value of polyps, adenomas, and cancer is 0.923, 0.955, and 0.87, and mAP@50 is 0.916.


Asunto(s)
Neoplasias Colorrectales/diagnóstico por imagen , Diagnóstico por Computador/métodos , Endoscopía Gastrointestinal/métodos , Adenoma/diagnóstico por imagen , Algoritmos , Biología Computacional , Aprendizaje Profundo , Diagnóstico por Computador/estadística & datos numéricos , Errores Diagnósticos , Endoscopía Gastrointestinal/estadística & datos numéricos , Humanos , Pólipos Intestinales/diagnóstico por imagen , Luz , Redes Neurales de la Computación
5.
Comput Math Methods Med ; 2021: 2144472, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-34777559

RESUMEN

PURPOSE: In order to resolve the situation of high missed diagnosis rate and high misdiagnosis rate of the pathological analysis of the gastrointestinal endoscopic images by experts, we propose an automatic polyp detection algorithm based on Single Shot Multibox Detector (SSD). METHOD: In the paper, SSD is based on VGG-16, the fully connected layer is changed to a convolutional layer, and four convolutional layers with successively decreasing scales are added as a new network structure. In order to verify the practicability, it is not only compared with manual polyp detection but also with Mask R-CNN. RESULTS: Multiple experimental results show that the mean Average Precision (mAP) of the SSD network is 95.74%, which is 12.4% higher than the manual detection and 5.7% higher than the Mask R-CNN. When detecting a single frame of image, the detection speed of SSD is 8.41 times that of manual detection. CONCLUSION: Based on the traditional pattern recognition algorithm and the target detection algorithm using deep learning, we select a variety of algorithms to identify and classify polyps to achieve efficient detection results. Our research demonstrates that deep learning has a lot of room for development in the field of gastrointestinal image recognition.


Asunto(s)
Algoritmos , Aprendizaje Profundo , Endoscopía Gastrointestinal/métodos , Pólipos/diagnóstico por imagen , Biología Computacional , Bases de Datos Factuales , Errores Diagnósticos/prevención & control , Errores Diagnósticos/estadística & datos numéricos , Endoscopía Gastrointestinal/estadística & datos numéricos , Humanos , Interpretación de Imagen Asistida por Computador/métodos , Interpretación de Imagen Asistida por Computador/estadística & datos numéricos , Pólipos Intestinales/clasificación , Pólipos Intestinales/diagnóstico , Pólipos Intestinales/diagnóstico por imagen , Redes Neurales de la Computación , Pólipos/clasificación , Pólipos/diagnóstico , Gastropatías/clasificación , Gastropatías/diagnóstico , Gastropatías/diagnóstico por imagen
7.
United European Gastroenterol J ; 9(7): 819-828, 2021 09.
Artículo en Inglés | MEDLINE | ID: mdl-34478243

RESUMEN

BACKGROUND AND AIMS: The Workgroup Serrated Polyps and Polyposis (WASP) developed criteria for optical diagnosis of colorectal polyps. The aims of this study were: (1) to improve optical diagnosis of diminutive colorectal polyps, especially SSLs, after training endoscopists in applying WASP criteria on videos of polyps obtained with iScan and (2) to evaluate if the WASP criteria are still useful when polyps are pathologically revised according to the World Health Organization (WHO) 2019 criteria. METHODS: Twenty-one endoscopists participated in a training session and predicted polyp histology on 30 videos of diminutive polyps, before and after training (T0 and T1 ). After three months, they scored another 30 videos (T2 ). Primary outcome was overall diagnostic accuracy (DA) at T0 , T1 and T2 . Polyps were histopathologically classified according to the WHO 2010 and 2019 criteria. RESULTS: Overall DA (both diminutive adenomas and SSLs) significantly improved from 0.58 (95% CI 0.55-0.62) at T0 to 0.63 (95% CI 0.60-0.66, p = 0.004) at T1 . For SSLs, DA did not change with 0.51 (95% CI 0.46-0.56) at T0 and 0.55 (95% CI 0.49-0.60, p = 0.119) at T1 . After three months, overall DA was 0.58 (95% CI 0.54-0.62, p = 0.787, relative to T0 ) while DA for SSLs was 0.48 (95% CI 0.42-0.55, p = 0.520) at T2 . After pathological revision according to the WHO 2019 criteria, DA of all polyps significantly changed at all time points. CONCLUSION: A training session in applying WASP criteria on endoscopic videos made with iScan did not improve endoscopists' long-term ability to optically diagnose diminutive polyps. The change of DA following polyp revision according to the revised WHO 2019 criteria suggests that the WASP classification may need revision.


Asunto(s)
Adenoma/diagnóstico por imagen , Adenoma/patología , Endoscopía Gastrointestinal/educación , Pólipos Intestinales/diagnóstico por imagen , Pólipos Intestinales/patología , Grabación en Video , Adenoma/clasificación , Colonoscopía/educación , Intervalos de Confianza , Humanos , Pólipos Intestinales/clasificación , Estudios Prospectivos , Factores de Tiempo , Organización Mundial de la Salud
8.
Acta Med Okayama ; 75(4): 471-477, 2021 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-34511614

RESUMEN

The characteristics of gastric polyps in patients with Peutz-Jeghers (PJ) syndrome (PJS) have not been fully investigated. The objective of this study was to reveal the endoscopic and pathologic findings of gastric polyps in patients with PJS. We reviewed 11 patients with PJS treated at 6 institutions, and summarized the endo-scopic and pathologic features of their gastric polyps. The polyps were mainly classified into 2 types: (i) soli-tary or sporadic polyps > 5 mm, reddish in color with a sessile or semi-pedunculated morphology (n = 9); and (ii) multiple sessile polyps ≤ 5 mm with the same color tone as the peripheral mucosa (n = 9). Patients who underwent endoscopic mucosal resection for polyps > 5 mm were diagnosed with PJ polyps (n = 2), whereas those who underwent biopsy were diagnosed with hyperplastic polyps. Polyps ≤ 5 mm were pathologically diagnosed as fundic gland polyps or hyperplastic polyps. This study revealed that patients with PJS present with 2 types of polyps in the stomach. Endoscopic mucosal resection of polyps > 5 mm seems necessary for the pathologic diagnosis of PJ polyps.


Asunto(s)
Pólipos Intestinales/patología , Síndrome de Peutz-Jeghers/fisiopatología , Adolescente , Adulto , Niño , Endoscopía del Sistema Digestivo/métodos , Femenino , Humanos , Pólipos Intestinales/diagnóstico por imagen , Pólipos Intestinales/etiología , Masculino , Persona de Mediana Edad , Síndrome de Peutz-Jeghers/complicaciones , Estudios Retrospectivos
12.
Rev Esp Patol ; 54(1): 65-69, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-33455696

RESUMEN

Inflammatory fibroid polyps (IFPs) are rare mesenchymal neoplasms affecting the gastrointestinal tract which are considered benign and noninvasive. We present a case of an invasive IFP in a 46-year-old woman who presented with signs of intestinal obstruction due to ileal intussusception. A segment of the small intestine was resected and subsequently intestinal continuity was restored. A polypoid lesion was found obstructing the lumen. Histopathology revealed a mesenchymal proliferation of spindle and stellate cells, without cytological atypia, arranged in a fibromyxoid stroma. The tumor cells were located in the submucosa but also infiltrated the muscularis propria and the subserosa and were CD34 positive. The molecular study by PCR showed mutation in exon 12 of the PDGFRA gene. IFP is considered a true neoplasm and can also be considered as a potentially invasive lesion.


Asunto(s)
Enfermedades del Íleon/patología , Pólipos Intestinales/patología , Intususcepción/patología , Exones/genética , Femenino , Humanos , Enfermedades del Íleon/diagnóstico por imagen , Enfermedades del Íleon/etiología , Pólipos Intestinales/complicaciones , Pólipos Intestinales/diagnóstico por imagen , Intususcepción/diagnóstico por imagen , Intususcepción/etiología , Persona de Mediana Edad , Mutación , Receptor alfa de Factor de Crecimiento Derivado de Plaquetas/genética
13.
Gastrointest Endosc ; 93(3): 630-636, 2021 03.
Artículo en Inglés | MEDLINE | ID: mdl-32717365

RESUMEN

BACKGROUND AND AIMS: Although sporadic duodenal and/or ampullary adenomas (DAs) are uncommon, they are increasingly diagnosed during upper endoscopy. These patients have a 3- to 7-fold increased risk of colonic neoplasia compared with the normal population. It is unknown, however, whether they also have an increased risk of additional small-bowel (SB) polyps. Our aim was to establish the prevalence of SB polyps in patients with DA. METHODS: In a single-center, prospective study, we used video capsule endoscopy (VCE) to investigate the prevalence of SB polyps in patients with a DA compared with patients undergoing VCE for obscure GI bleeding or iron deficiency anemia. RESULTS: Over 25 months, 201 patients were enrolled in the study; the mean age was 65 years and 47% were male. There were 101 control patients and 100 cases of DA cases (mean size, 30 mm (range, 10-80 mm)). We did not identify any SB polyps in either group. Colonic polyps were found more frequently in the DA group compared with controls (61% versus 37%, respectively (P =.002)). Advanced colonic adenoma (high-grade dysplasia, >10 mm, villous histology) were found in 18% of the DA group and 5% of the control group (P =.018). CONCLUSION: Our data suggest that patients with a DA are not at risk for additional SB polyps and hence do not support screening with VCE. However, colonoscopy is mandatory due to the significantly higher risk of colonic polyps including advanced adenomas. (Clinical trial registration number: NCT02470416.).


Asunto(s)
Adenoma , Endoscopía Capsular , Pólipos del Colon , Adenoma/diagnóstico , Adenoma/epidemiología , Anciano , Pólipos del Colon/diagnóstico por imagen , Pólipos del Colon/epidemiología , Colonoscopía , Femenino , Humanos , Pólipos Intestinales/diagnóstico por imagen , Pólipos Intestinales/epidemiología , Masculino , Prevalencia , Estudios Prospectivos
17.
Medicine (Baltimore) ; 99(36): e22080, 2020 Sep 04.
Artículo en Inglés | MEDLINE | ID: mdl-32899081

RESUMEN

RATIONALE: Intussusception is defined as the invagination or telescoping of a proximal portion of the intestine into the distal portion of the intestine. Intussusception can occur at any age but is more common among children. Most cases of intussusception in adults have a pathological lead point. Inflammatory fibroid polyp (IFP) is a rare benign tumor-like lesion arising from the submucosa of the gastrointestinal tract that can cause intussusception in adults. Here, we report a case of adult intussusception due to IFP. We also present a literature review of 31 reports including 34 cases between 2012 and December 2019, which shows a mean age of 45.4 ±â€Š14.2 years and female dominance (23/34) of intussusception due to IFP. PATIENT CONCERNS: A 47-year-old man presented with a half-day history of epigastric abdominal pain. Physical examination revealed distension and tenderness of the upper abdomen. Computed tomography (CT) of the abdomen and pelvis demonstrated intussusception of the jejunum along with a suspicious jejunal mass associated with mesenteric lymphadenopathies. DIAGNOSIS: Intussusception of the jejunum along with a suspicious jejunal mass, and histopathological examination of the resected specimen showed IFP. INTERVENTIONS: The patient underwent emergency laparotomy. The intussusception was resected without attempts for reduction. OUTCOMES: The postoperative period was uneventful, and the patient was discharged on the fourth postoperative day. LESSONS: Intussusception in adults is rare, especially that secondary to IFP. The most commonly used diagnostic tool for adult intussusception is abdominal CT, and the optimal management is resection of the involved bowel segment without reduction if malignancy cannot be ruled out.


Asunto(s)
Pólipos Intestinales/complicaciones , Intususcepción/etiología , Enfermedades del Yeyuno/etiología , Humanos , Pólipos Intestinales/diagnóstico por imagen , Pólipos Intestinales/patología , Intususcepción/diagnóstico por imagen , Intususcepción/patología , Enfermedades del Yeyuno/diagnóstico por imagen , Enfermedades del Yeyuno/patología , Masculino , Persona de Mediana Edad , Tomografía Computarizada por Rayos X
18.
Int J Comput Assist Radiol Surg ; 15(12): 1975-1988, 2020 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-32989680

RESUMEN

PURPOSE: Data augmentation is a common technique to overcome the lack of large annotated databases, a usual situation when applying deep learning to medical imaging problems. Nevertheless, there is no consensus on which transformations to apply for a particular field. This work aims at identifying the effect of different transformations on polyp segmentation using deep learning. METHODS: A set of transformations and ranges have been selected, considering image-based (width and height shift, rotation, shear, zooming, horizontal and vertical flip and elastic deformation), pixel-based (changes in brightness and contrast) and application-based (specular lights and blurry frames) transformations. A model has been trained under the same conditions without data augmentation transformations (baseline) and for each of the transformation and ranges, using CVC-EndoSceneStill and Kvasir-SEG, independently. Statistical analysis is performed to compare the baseline performance against results of each range of each transformation on the same test set for each dataset. RESULTS: This basic method identifies the most adequate transformations for each dataset. For CVC-EndoSceneStill, changes in brightness and contrast significantly improve the model performance. On the contrary, Kvasir-SEG benefits to a greater extent from the image-based transformations, especially rotation and shear. Augmentation with synthetic specular lights also improves the performance. CONCLUSION: Despite being infrequently used, pixel-based transformations show a great potential to improve polyp segmentation in CVC-EndoSceneStill. On the other hand, image-based transformations are more suitable for Kvasir-SEG. Problem-based transformations behave similarly in both datasets. Polyp area, brightness and contrast of the dataset have an influence on these differences.


Asunto(s)
Aprendizaje Profundo , Procesamiento de Imagen Asistido por Computador/métodos , Pólipos Intestinales/cirugía , Cirugía Asistida por Computador , Bases de Datos Factuales , Humanos , Pólipos Intestinales/diagnóstico por imagen
19.
Comput Math Methods Med ; 2020: 8374317, 2020.
Artículo en Inglés | MEDLINE | ID: mdl-32952602

RESUMEN

METHODS: We collected and sorted out the white light endoscopic images of some patients undergoing colonoscopy. The convolutional neural network model is used to detect whether the image contains lesions: CRC, colorectal adenoma (CRA), and colorectal polyps. The accuracy, sensitivity, and specificity rates are used as indicators to evaluate the model. Then, the instance segmentation model is used to locate and classify the lesions on the images containing lesions, and mAP (mean average precision), AP50, and AP75 are used to evaluate the performance of an instance segmentation model. RESULTS: In the process of detecting whether the image contains lesions, we compared ResNet50 with the other four models, that is, AlexNet, VGG19, ResNet18, and GoogLeNet. The result is that ResNet50 performs better than several other models. It scored an accuracy of 93.0%, a sensitivity of 94.3%, and a specificity of 90.6%. In the process of localization and classification of the lesion in images containing lesions by Mask R-CNN, its mAP, AP50, and AP75 were 0.676, 0.903, and 0.833, respectively. CONCLUSION: We developed and compared five models for the detection of lesions in white light endoscopic images. ResNet50 showed the optimal performance, and Mask R-CNN model could be used to locate and classify lesions in images containing lesions.


Asunto(s)
Colonoscopía/métodos , Neoplasias Colorrectales/diagnóstico por imagen , Aprendizaje Profundo , Interpretación de Imagen Asistida por Computador/métodos , Lesiones Precancerosas/diagnóstico por imagen , Adenoma/diagnóstico por imagen , Pólipos del Colon/diagnóstico por imagen , Colonoscopía/estadística & datos numéricos , Biología Computacional , Errores Diagnósticos/estadística & datos numéricos , Humanos , Interpretación de Imagen Asistida por Computador/estadística & datos numéricos , Pólipos Intestinales/diagnóstico por imagen , Luz , Tamizaje Masivo/métodos , Tamizaje Masivo/estadística & datos numéricos , Redes Neurales de la Computación
20.
Clin J Gastroenterol ; 13(6): 1129-1135, 2020 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-32779147

RESUMEN

Solitary Peutz-Jeghers polyp is a rare hamartomatous polyp that has similar histologic characteristics with those of polyps in Peutz-Jeghers syndrome, without associated mucocutaneous hyperpigmentation and a family history. Previous reports indicated that solitary Peutz-Jeghers polyp is rarely found in the small intestine. We experienced a rare case of jejunal solitary Peutz-Jeghers polyp. A 29-year-old man was admitted to our hospital with a 6-month history of upper abdominal pain. He had no hyperpigmentation or a family history of Peutz-Jeghers syndrome. Abdominal computed tomography showed a 3-cm tumor-like structure at the tip of a mildly intussuscepted jejunum. Per oral double-balloon enteroscopy revealed a 3-cm pedunculated polyp in the jejunum. The patient underwent partial jejunal resection under laparotomy. Macroscopically, the surgical specimen showed a pedunculated polyp, measuring 30 × 15 × 10 mm in size, with lobulated head. Histopathologic examination revealed irregular aggregation of hyperplastic crypts with branching muscular bundles originating from the muscularis mucosae. Based on these histologic findings, we finally diagnosed the patient as a solitary Peutz-Jeghers polyp in the jejunum. The present case indicated that solitary Peutz-Jeghers polyp should be considered in a patient with solitary hamartomatous polyp in the gastrointestinal tract.


Asunto(s)
Intususcepción , Síndrome de Peutz-Jeghers , Adulto , Enteroscopía de Doble Balón , Humanos , Pólipos Intestinales/complicaciones , Pólipos Intestinales/diagnóstico por imagen , Pólipos Intestinales/cirugía , Intususcepción/diagnóstico por imagen , Intususcepción/etiología , Intususcepción/cirugía , Yeyuno/diagnóstico por imagen , Yeyuno/cirugía , Masculino , Síndrome de Peutz-Jeghers/complicaciones , Síndrome de Peutz-Jeghers/diagnóstico , Síndrome de Peutz-Jeghers/cirugía
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